Artificial Intelligence
Roy Smythe, MD, is the Global Chief Medical Officer for Strategy and Partnerships at Philips Healthcare – a company working aggressively to implement advanced computing into the clinical workflow to improve the efficiency and effectiveness of care delivery. This webinar will review the use of AI in clinical medicine – discussing...
Texas's largest not-for-profit healthcare system supplemented operational and clinical programs with artificial intelligence and predictive analytics to help reduce long hospital stays, which dramatically affect both patients and healthcare systems.
Healthcare systems have been adapting to the need to analyze an unprecedented amount of data. The improvements to care delivery and cost have been well-documented, justifying this investment. Now, the arrival of precision medicine applications represents a new challenge.
During this period of transition, healthcare IT managers will face the...
Population health records carry a wealth of data that can be used to help clinicians understand patterns in patient behavior that suggest an opportunity for an intervention.
The U.S Department of Veteran Affairs has developed systems that are determining the best way to alert clinicians of an opportunity for a beneficial intervention. The system...
A recent HIMSS Analytics survey revealed that healthcare providers agree that artificial intelligence has the power to transform healthcare, but many don't know how to integrate AI into their organization.
In this webinar, Ernest Sohn, chief data scientist in Booz Allen’s Data Solutions and Machine Intelligence group, will explain the work that went into developing a machine-learning system. And he will share lessons learned on how to best apply machine learning processes to clinical situations.
Artificial Intelligence (AI) in healthcare went from the sci-fi and research domain to a mainstream health IT buzzword over the last two years. What changed and what does it mean for health providers? Join Ken Kleinberg, VP of Research at Chilmark Research for a compelling presentation on this emerging technology.
Learn how cognitive computing and natural language processing can be used to extract meaningful information from PubMed and other libraries to support more efficient CQM development.
This presentation will focus on identifying barriers to discharge and how to reduce excess LOS without having a negative impact on quality. We’ll discuss how advanced technologies, such as artificial intelligence, help hospitals better predict real-time capacity and improve patient throughput.
